Text sentiment visual analysis technology and its application in humanities

Abstract

Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown explosive growth, and text sentiment analysis has become one of the important research hotspots in the field of natural language processing.At the same time, due to the characteristics of massive, time-varying, unstructured and strongly correlated sentiment data, visual analysis techniques that can present sentiment tendencies intuitively and efficiently are widely used in this field.The recent research on visual analysis of sentiment was reviewed, and according to the presentation form “topic words”, “association”, “evolution”, “spatial and temporal distribution” four aspects of text sentiment visual analysis methods were described, and future sentiment analysis techniques as well as text sentiment visual analysis research were foreseen.

Keywords

• text sentiment analysis;visual analysis;data analysis;machine learning